3de1e6e9ab
- Add development and production configuration templates - Include Docker build files for containerized deployment - Add Nginx configuration with SSL/TLS setup - Include environment configuration examples - Add SSL certificate setup and management - Configure application schemas and validation - Support for both local and production deployment scenarios Provides flexible deployment options from development to production with proper security, monitoring, and configuration management.
66 lines
1.2 KiB
Text
66 lines
1.2 KiB
Text
# Fetch ML Configuration Example
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# Copy this file to config.yaml and customize for your environment
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auth:
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enabled: true
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api_keys:
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# Example API key (replace with real hashed keys)
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admin:
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hash: "5e884898da28047151d0e56f8dc6292773603d0d6aabbdd62a11ef721d1542d8" # "password"
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admin: true
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roles: ["admin"]
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permissions:
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"*": true
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server:
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host: "localhost"
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port: 8080
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database:
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type: "sqlite"
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connection: "data/fetch_ml.db"
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host: ""
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port: 5432
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username: ""
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password: ""
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database: "fetch_ml"
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redis:
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url: "redis://localhost:6379"
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host: "localhost"
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port: 6379
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password: ""
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db: 0
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pool_size: 10
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max_retries: 3
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logging:
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level: "info"
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file: "logs/fetch_ml.log"
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format: "text"
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console: true
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security:
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secret_key: "your-secret-key-at-least-16-chars"
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jwt_expiry: "24h"
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rate_limit:
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enabled: false
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requests_per_minute: 60
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containers:
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runtime: "podman"
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registry: "docker.io"
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pull_policy: "missing"
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resources:
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cpu_limit: "2"
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memory_limit: "4Gi"
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gpu_limit: 1
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storage:
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data_path: "data"
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results_path: "results"
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temp_path: "/tmp/fetch_ml"
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cleanup:
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enabled: true
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max_age_hours: 168
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max_size_gb: 10
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